Published March 2019
| Version v1
Journal article
EXPONENTIAL INEQUALITY FOR CHAOS BASED ON SAMPLING WITHOUT REPLACEMENT
Creators
Contributors
Others:
- Institut National de la Recherche Agronomique (INRA)
- Laboratoire Jean Alexandre Dieudonné (JAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015)
- ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)
Description
We are interested in the behavior of particular functionals, in a framework where the only source of randomness is a sampling without replacement. More precisely the aim of this short note is to prove an exponential concentration inequality for special U-statistics of order 2, that can be seen as chaos.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-01861340
- URN
- urn:oai:HAL:hal-01861340v1